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Twitter Demographics
Mendeley readers
Attention Score in Context
| Title |
Appraising patient preference methods for decision-making in the medical product lifecycle: an empirical comparison
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, June 2020
|
| DOI | 10.1186/s12911-020-01142-w |
| Pubmed ID | |
| Authors |
Chiara Whichello, Bennett Levitan, Juhaeri, Vaishali Patadia, Rachael DiSantostefano, Cathy Anne Pinto, Esther W. de Bekker-Grob |
Twitter Demographics
The data shown below were collected from the profiles of 14 tweeters who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 14% |
| Belgium | 2 | 14% |
| Chile | 1 | 7% |
| Switzerland | 1 | 7% |
| Greece | 1 | 7% |
| Sweden | 1 | 7% |
| Unknown | 6 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 86% |
| Scientists | 1 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 18% |
| Student > Master | 7 | 18% |
| Other | 4 | 10% |
| Researcher | 3 | 8% |
| Student > Doctoral Student | 3 | 8% |
| Other | 3 | 8% |
| Unknown | 13 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 15% |
| Engineering | 4 | 10% |
| Psychology | 3 | 8% |
| Social Sciences | 3 | 8% |
| Nursing and Health Professions | 2 | 5% |
| Other | 9 | 23% |
| Unknown | 13 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 12 August 2022.
All research outputs
#2,916,328
of 23,081,466 outputs
Outputs from BMC Medical Informatics and Decision Making
#226
of 2,012 outputs
Outputs of similar age
#78,328
of 398,840 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#5
of 51 outputs
Altmetric has tracked 23,081,466 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,012 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 398,840 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 51 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.